RESUMEN
ObjectiveThe fractional flow reserve （FFR） computed from coronary computed tomographic （CT） angiograms makes it possible to noninvasively assess coronary artery disease， but the impact of plaque on FFR derived from computed tomography angiography （CTA） is still unknown. The study used invasive FFR as the reference standard to analyze the impact of plaque on coronary computed tomography angiography （CCTA）-based quantitative flow ratio （CT-QFR）. MethodsThe retrospective study included 108 patients with suspected coronary heart disease （CHD） who underwent both CCTA and FFR within 60 days. CCTA images were analyzed by the software. We obtained the CT-QFR of target vessels， perfomed the quantitative and qualitative analyses on target vascular plaques， including total plaque volume （TPV）， plaque burden， calcified plaque volume （CPV）， fibrous plaque volume （FPV）， lipid plaque volume （LPV）， and the presence or absence of high-risk plaque. ResultsAccording to the difference between CT-QFR and FFR at blood vessel level， 137 target vessels of 108 patients were divided into the overestimated group （difference＞0.03， n＝29）， reference group （-0.03≤difference≤0.03， n＝88） and underestimated group （difference＜-0.03， n＝20）. The underestimated group （14.81mm3） presented higher LPV than overestimated group （1.97mm3， P < 0.05）. There was a negative correlation between LPV and the difference （P＜0.05）. ConclusionsWhen CT-QFR is used to estimate hemodynamics of coronary artery stenosis， the presence of lipid plaque may underestimate the virtual FFR.
RESUMEN
Colorectal cancer (CRC) is a common malignant tumor of the digestive tract, which seriously threatens human health. In recent years, many studies have found that Fusobacterium nucleatum (Fn) is positively related to the occurrence of CRC. In the process of CRC carcinogenesis, Fn can play an important role by inducing the expression of pro-inflammatory cytokines and triggering chronic inflammation, inhibiting the function of immune cells, inducing chemotherapy resistance, promoting the expressions of tumor genes and microRNAs and regulating glycolysis.
RESUMEN
More and more studies have found that red blood cell distribution width (RDW) can be used for acute pancreatitis (AP) classification, dynamic monitoring and evaluation of disease severity, mortality, prognosis and complication. Some inflammatory markers, such as procalcitonin (PCT), C-reactive protein (CRP), neutrophil-to-lymphocyte ratio (NLR) and pancreatitis scoring system are also associated with severity of AP, and can further improve the evaluation of AP severity when combined with RDW. This article reviewed the RDW and classification of AP, the dynamic changes of RDW and AP, RDW combined with inflammatory indices for prediction of severity of AP, and RDW combined with pancreatitis scoring system for prediction of severity of AP, so as to improve the understanding of predictive value of RDW in assessing the severity of AP.
RESUMEN
<p><b>OBJECTIVE</b>To compare the efficacy of three-dimensional (3D) and two-dimensional (2D) quantitative coronary X-ray angiography (QCA) and visual estimation in the assessment of target vessels.</p><p><b>METHODS</b>The radiographic data of 60 patients (65 vessel segments) receiving coronary angiography and interventional stent placement were retrospectively analyzed. The area stenosis, diameter stenosis, lesion length, and reference diameter assessed by Medis 3D QCA, Siemens 2D QCA and visual estimation were compared.</p><p><b>RESULTS</b>Three-dimensional reconstruction was successfully performed for 65 vessel segments, and 3 target vessel were excluded due to the lack of a second angiographic view for 3D reconstruction. There were significant differences in the assessments of the area stenosis [(73.87 ∓ 8.98)% vs (79.10 ∓ 8.06)% vs (83.53 ∓ 8.19)%, P<0.001], lesion length (28.95 ∓ 17.31 mm vs 26.20 ∓ 16.04 mm vs 27.21 ∓ 16.58 mm, P<0.001), reference diameter (28.95 ∓ 17.31 mm vs 26.2 ∓ 16.04 mm vs 27.21∓16.58 mm, P<0.001) by 3D QCA, 2D QCA and visual estimation; the diameter stenosis assessed by 3D [(54.21 ∓ 9.48)%] and 2D QCA [(57.84 ∓ 10.17)%] also differed significantly (P=0.016).</p><p><b>CONCLUSION</b>3D QCA allows successful three-dimensional reconstruction of the target vessel and restores the actual dimensions of the vessel for a more accurate assessment of coronary artery disease than 2D QCA and visual estimation.</p>